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Wei C, Zhang H, Niu L, Zhong Q, Yan H, Wang J. 4D-QSAR, ADMET properties, and molecular dynamics simulations for designing N-substituted urea/thioureas as human glutaminyl cyclase inhibitors. Comput Biol Chem 2024; 112:108131. [PMID: 38968781 DOI: 10.1016/j.compbiolchem.2024.108131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 06/11/2024] [Accepted: 06/13/2024] [Indexed: 07/07/2024]
Abstract
Human glutaminyl cyclase (hQC) inhibitors have great potential to be used as anti- Alzheimer's disease (AD) agents by reducing the toxic pyroform of β-amyloid in the brains of AD patients. The four-dimensional quantitative structure activity relationship (4D-QSAR) model of N-substituted urea/thioureas was established with satisfying predictive ability and statistical reliability (Q2 = 0.521, R2 = 0.933, R2prep = 0.619). By utilizing the developed 4D-QSAR model, a set of new N-substituted urea/thioureas was designed and evaluated for their Absorption Distribution Metabolism Excretion and Toxicity (ADMET) properties. The results of molecular dynamics (MD) simulations, Principal component analysis (PCA), free energy landscape (FEL), dynamic cross-correlation matrix (DCCM) and molecular mechanics generalized Born Poisson-Boltzmann surface area (MM-PBSA) free energy calculations, revealed that the designed compounds were remained stable in protein binding pocket and compounds b ∼ f (-35.1 to -44.55 kcal/mol) showed higher binding free energy than that of compound 14 (-33.51 kcal/mol). The findings of this work will be a theoretical foundation for further research and experimental validation of urea/thiourea derivatives as hQC inhibitors.
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Affiliation(s)
- Chaochun Wei
- College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, PR China
| | - Haolin Zhang
- College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, PR China
| | - Lexuan Niu
- College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, PR China
| | - Qidi Zhong
- School of Pharmacy, North China University of Science and Technology, Tangshan 063210, PR China
| | - Hong Yan
- College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, PR China.
| | - Juan Wang
- College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, PR China.
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Bao H, Wang W, Sun H, Chen J. The switch states of the GDP-bound HRAS affected by point mutations: a study from Gaussian accelerated molecular dynamics simulations and free energy landscapes. J Biomol Struct Dyn 2024; 42:3363-3381. [PMID: 37216340 DOI: 10.1080/07391102.2023.2213355] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/04/2023] [Indexed: 05/24/2023]
Abstract
Point mutations play a vital role in the conformational transformation of HRAS. In this work, Gaussian accelerated molecular dynamics (GaMD) simulations followed by constructions of free energy landscapes (FELs) were adopted to explore the effect of mutations D33K, A59T and L120A on conformation states of the GDP-bound HRAS. The results from the post-processing analyses on GaMD trajectories suggest that mutations alter the flexibility and motion modes of the switch domains from HRAS. The analyses from FELs show that mutations induce more disordered states of the switch domains and affect interactions of GDP with HRAS, implying that mutations yield a vital effect on the binding of HRAS to effectors. The GDP-residue interaction network revealed by our current work indicates that salt bridges and hydrogen bonding interactions (HBIs) play key roles in the binding of GDP to HRAS. Furthermore, instability in the interactions of magnesium ions and GDP with the switch SI leads to the extreme disorder of the switch domains. This study is expected to provide the energetic basis and molecular mechanism for further understanding the function of HRAS.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Huayin Bao
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wei Wang
- School of Science, Shandong Jiaotong University, Jinan, China
| | - Haibo Sun
- School of Science, Shandong Jiaotong University, Jinan, China
| | - Jianzhong Chen
- School of Science, Shandong Jiaotong University, Jinan, China
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3
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Tang B, Luo S, Wang Q, Gao P, Duan L. Advanced molecular mechanisms of modified DRV compounds in targeting HIV-1 protease mutations and interrupting monomer dimerization. Phys Chem Chem Phys 2024; 26:4989-5001. [PMID: 38258432 DOI: 10.1039/d3cp05702j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
HIV-1 protease (PR) plays a crucial role in the treatment of HIV as a key target. The global issue of emerging drug resistance is escalating, and PR mutations pose a substantial challenge to the effectiveness of inhibitors. HIV-1 PR is an ideal model for studying drug resistance to inhibitors. The inhibitor, darunavir (DRV), exhibits a high genetic barrier to viral resistance, but with mutations of residues in the PR, there is also some resistance to DRV. Inhibitors can impede PR in two ways: one involves binding to the active site of the dimerization protease, and the other involves binding to the PR monomer, thereby preventing dimerization. In this study, we aimed to investigate the inhibitory effect of DRV with a modified inhibitor on PR, comparing the differences between wild-type and mutated PR, using molecular dynamics simulations. The inhibitory effect of the inhibitors on PR monomers was subsequently investigated. And molecular mechanics Poisson-Boltzmann surface area evaluated the binding free energy. The energy contribution of individual residues in the complex was accurately calculated by the alanine scanning binding interaction entropy method. The results showed that these inhibitors had strong inhibitory effects against PR mutations, with GRL-142 exhibiting potent inhibition of both the PR monomer and dimer. Improved inhibitors could strengthen hydrogen bonds and interactions with PR, thereby boosting inhibition efficacy. The binding of the inhibitor and mutation of the PR affected the distance between D25 and I50, preventing their dimerization and the development of drug resistance. This study could accelerate research targeting HIV-1 PR inhibitors and help to further facilitate drug design targeting both mechanisms.
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Affiliation(s)
- Bolin Tang
- School of Physics and Electronics, Shandogfng Normal University, Jinan, 250014, China.
| | - Song Luo
- School of Physics and Electronics, Shandogfng Normal University, Jinan, 250014, China.
| | - Qihang Wang
- School of Physics and Electronics, Shandogfng Normal University, Jinan, 250014, China.
| | - Pengfei Gao
- School of Physics and Electronics, Shandogfng Normal University, Jinan, 250014, China.
| | - Lili Duan
- School of Physics and Electronics, Shandogfng Normal University, Jinan, 250014, China.
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Zhou H, Fu H, Shao X, Cai W. Binding Thermodynamics of Fourth-Generation EGFR Inhibitors Revealed by Absolute Binding Free Energy Calculations. J Chem Inf Model 2023; 63:7837-7846. [PMID: 38054791 DOI: 10.1021/acs.jcim.3c01636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
The overexpression or mutation of the kinase domain of the epidermal growth factor receptor (EGFR) is strongly associated with non-small-cell lung cancer (NSCLC). EGFR tyrosine kinase inhibitors (TKIs) have proven to be effective in treating NSCLC patients. However, EGFR mutations can result in drug resistance. To elucidate the mechanisms underlying this resistance and inform future drug development, we examined the binding affinities of BLU-945, a recently reported fourth-generation TKI, to wild-type EGFR (EGFRWT) and its double-mutant (L858R/T790M; EGFRDM) and triple-mutant (L858R/T790M/C797S; EGFRTM) forms. We compared the binding affinities of BLU-945, BLU-945 analogues, CH7233163 (another fourth-generation TKI), and erlotinib (a first-generation TKI) using absolute binding free energy calculations. Our findings reveal that BLU-945 and CH7233163 exhibit binding affinities to both EGFRDM and EGFRTM stronger than those of erlotinib, corroborating experimental data. We identified K745 and T854 as the key residues in the binding of fourth-generation EGFR TKIs. Electrostatic forces were the predominant driving force for the binding of fourth-generation TKIs to EGFR mutants. Furthermore, we discovered that the incorporation of piperidinol and sulfone groups in BLU-945 substantially enhanced its binding capacity to EGFR mutants. Our study offers valuable theoretical insights for optimizing fourth-generation EGFR TKIs.
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Affiliation(s)
- Huaxin Zhou
- Research Center for Analytical Sciences, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, College of Chemistry, Nankai University, Tianjin 300071, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China
| | - Haohao Fu
- Research Center for Analytical Sciences, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, College of Chemistry, Nankai University, Tianjin 300071, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China
- School of Materials Science and Engineering, Smart Sensing Interdisciplinary Science Center, Nankai University, Tianjin 300350, China
| | - Xueguang Shao
- Research Center for Analytical Sciences, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, College of Chemistry, Nankai University, Tianjin 300071, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China
- School of Materials Science and Engineering, Smart Sensing Interdisciplinary Science Center, Nankai University, Tianjin 300350, China
| | - Wensheng Cai
- Research Center for Analytical Sciences, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, College of Chemistry, Nankai University, Tianjin 300071, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China
- School of Materials Science and Engineering, Smart Sensing Interdisciplinary Science Center, Nankai University, Tianjin 300350, China
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5
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Duan L, Tang B, Luo S, Xiong D, Wang Q, Xu X, Zhang JZH. Entropy driven cooperativity effect in multi-site drug optimization targeting SARS-CoV-2 papain-like protease. Cell Mol Life Sci 2023; 80:313. [PMID: 37796323 PMCID: PMC11072831 DOI: 10.1007/s00018-023-04985-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/07/2023] [Accepted: 09/26/2023] [Indexed: 10/06/2023]
Abstract
Papain-like protease (PLpro), a non-structural protein encoded by SARS-CoV-2, is an important therapeutic target. Regions 1 and 5 of an existing drug, GRL0617, can be optimized to produce cooperativity with PLpro binding, resulting in stronger binding affinity. This work investigated the origin of the cooperativity using molecular dynamics simulations combined with the interaction entropy (IE) method. The regions' improvement exhibits cooperativity by calculating the binding free energies between the complex of PLpro-inhibitor. The thermodynamic integration method further verified the cooperativity generated in the drug improvement. To further determine the specific source of cooperativity, enthalpy and entropy in the complexes were calculated using molecular mechanics/generalized Born surface area and IE. The results show that the entropic change is an important contributor to the cooperativity. Our study also identified residues P248, Q269, and T301 that play a significant role in cooperativity. The optimization of the inhibitor stabilizes these residues and minimizes the entropic loss, and the cooperativity observed in the binding free energy can be attributed to the change in the entropic contribution of these residues. Based on our research, the application of cooperativity can facilitate drug optimization, and provide theoretical ideas for drug development that leverage cooperativity by reducing the contribution of entropy through multi-locus binding.
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Affiliation(s)
- Lili Duan
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China.
| | - Bolin Tang
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - Song Luo
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - Danyang Xiong
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - Qihang Wang
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - Xiaole Xu
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - John Z H Zhang
- Faculty of Synthetic Biology and Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200062, China.
- NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai, 200062, China.
- Department of Chemistry, New York University, New York, NY, 10003, USA.
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6
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Pozzi C, Vanet A, Francesconi V, Tagliazucchi L, Tassone G, Venturelli A, Spyrakis F, Mazzorana M, Costi MP, Tonelli M. Antitarget, Anti-SARS-CoV-2 Leads, Drugs, and the Drug Discovery-Genetics Alliance Perspective. J Med Chem 2023; 66:3664-3702. [PMID: 36857133 PMCID: PMC10005815 DOI: 10.1021/acs.jmedchem.2c01229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
The most advanced antiviral molecules addressing major SARS-CoV-2 targets (Main protease, Spike protein, and RNA polymerase), compared with proteins of other human pathogenic coronaviruses, may have a short-lasting clinical efficacy. Accumulating knowledge on the mechanisms underlying the target structural basis, its mutational progression, and the related biological significance to virus replication allows envisaging the development of better-targeted therapies in the context of COVID-19 epidemic and future coronavirus outbreaks. The identification of evolutionary patterns based solely on sequence information analysis for those targets can provide meaningful insights into the molecular basis of host-pathogen interactions and adaptation, leading to drug resistance phenomena. Herein, we will explore how the study of observed and predicted mutations may offer valuable suggestions for the application of the so-called "synthetic lethal" strategy to SARS-CoV-2 Main protease and Spike protein. The synergy between genetics evidence and drug discovery may prioritize the development of novel long-lasting antiviral agents.
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Affiliation(s)
- Cecilia Pozzi
- Department of Biotechnology, Chemistry and Pharmacy,
University of Siena, via Aldo Moro 2, 53100 Siena,
Italy
| | - Anne Vanet
- Université Paris Cité,
CNRS, Institut Jacques Monod, F-75013 Paris,
France
| | - Valeria Francesconi
- Department of Pharmacy, University of
Genoa, viale Benedetto XV n.3, 16132 Genoa, Italy
| | - Lorenzo Tagliazucchi
- Department of Life Science, University of
Modena and Reggio Emilia, via Campi 103, 41125 Modena,
Italy
- Doctorate School in Clinical and Experimental Medicine
(CEM), University of Modena and Reggio Emilia, Via Campi 287,
41125 Modena, Italy
| | - Giusy Tassone
- Department of Biotechnology, Chemistry and Pharmacy,
University of Siena, via Aldo Moro 2, 53100 Siena,
Italy
| | - Alberto Venturelli
- Department of Life Science, University of
Modena and Reggio Emilia, via Campi 103, 41125 Modena,
Italy
| | - Francesca Spyrakis
- Department of Drug Science and Technology,
University of Turin, Via Giuria 9, 10125 Turin,
Italy
| | - Marco Mazzorana
- Diamond Light Source, Harwell Science and
Innovation Campus, Didcot, Oxfordshire OX11 0DE,
U.K.
| | - Maria P. Costi
- Department of Life Science, University of
Modena and Reggio Emilia, via Campi 103, 41125 Modena,
Italy
| | - Michele Tonelli
- Department of Pharmacy, University of
Genoa, viale Benedetto XV n.3, 16132 Genoa, Italy
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